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For the complete documentation index, see llms.txt. This page is also available as Markdown.

Integrations (inbound)

The Integrations panel gives you a central overview of every inbound data connection from external systems. Whatever sends data to Heisenware, an IoT sensor, a custom Python script, or a Heisenware Agent, shows up here.

Integrations panel

Integration types

Heisenware connects external data three ways:

Native or Docker Agent

Agents securely bridge data from private networks (on-premises servers, local databases) to the cloud.

  • Setup: You create and deploy Native Agents directly in the App Builder. You download and deploy Docker Agents via Docker.

  • Management: Once deployed, an Agent entry appears in the Integrations panel for monitoring. No manual credentials required.

MQTT client

The standard choice for general IoT use cases. Use this for sensors or devices that push data to Heisenware's MQTT broker. Inside your Apps, the MQTT client connector handles these messages. For a full walkthrough, see Connect an external MQTT client.

VRPC client

An advanced method for connecting custom code and proprietary libraries, the most powerful option for specialized software integrations.

Connecting MQTT and VRPC clients

Agents connect automatically, but MQTT and VRPC clients need authorization one of two ways:

Method 1: Manual credential creation

Use this method to pre-configure your external client with a fixed username and password.

1

Create

Click Create in the Integrations panel.

2

Select type

Select if you need an MQTT or VRPC client.

3

Edit/copy credentials

Copy the generated credentials or edit them to your needs.

4

Connect

Paste these credentials into your external client's configuration.

Method 2: Smart onboarding

The preferred, passwordless method. The external client sends a request, and you approve it in the App Builder. For a detailed guide, see the smart onboarding section.

Integrate custom code via VRPC

To integrate your code, write a Code Adapter around your existing functions, then load it as a Custom Extension.

  • Supported languages: Arduino (ESP32), C++, Node.js, and Python.

  • Use cases: Integrating legacy systems, running complex algorithms, or using specialized software libraries.

Technical implementation

For details, examples, and adapter setup, visit our VRPC developer section.

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